Understanding childhood obesity in Pakistan: exploring the knowledge, attitudes, practices of mothers, and influential factors. A cross-sectional study.

Background: Childhood obesity is a significant public health issue with far-reaching implications. The World Health Organization reported that in 2020, around 38 million children under five were overweight or obese globally, and in 2016, 340 million children and adolescents aged 5-19 were affected. In Pakistan, the situation is alarming; 66.

Isoxazole compounds: Unveiling the synthetic strategy, in-silico SAR & toxicity studies and future perspective as PARP inhibitor in cancer therapy.

Latest developments in cancer treatment have shed a light on the crucial role of PARP inhibitors that enhance the treatment effectiveness by modifying abnormal repair pathways. PARP inhibitors, such as Olaparib, Rucaparib, Niraparib, and Talazoparib have been approved in a number of cancers including BRCA 1/BRCA2 associated malignancies although there are many difficulties as therapeutical resistance. Besides the conventional synthetic drugs, natural compounds such as flavones and flavonoids have been found to be PARP inhibitors but only in preclinical studies.

Risk Factors of Oral Squamous Cell Carcinoma with Special Emphasis on Areca Nut Usage and Its Association with Clinicopathological Parameters and Recurrence.

Introduction: Oral squamous cell carcinoma (OSCC) is the most prevalent type of head and neck cancer and is associated with high mortality, particularly in Southeast Asian countries. Areca nut usage, smoking, and alcohol consumption are the most common risk factors for OSCC. Areca nut chewing is highly prevalent in Pakistan and has been attributed to an increase in OSCC cases.

Efficacy of Remdesivir on Clinical Outcomes in COVID-19 Patients: A Study in a Tertiary Care Hospital in Pakistan.

Background: As of October 3, 2023, the global COVID-19 case tally exceeded 696 million, with almost 7 million fatalities. Remdesivir, approved for treatment of COVID-19 by regulatory bodies, has seen varying recommendations by the World Health Organization over time. Despite certain studies questioning its efficacy, others highlight potential benefits.

Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification.

Skin cancer is a pervasive and potentially life-threatening disease. Early detection plays a crucial role in improving patient outcomes. Machine learning (ML) techniques, particularly when combined with pre-trained deep learning models, have shown promise in enhancing the accuracy of skin cancer detection.